The Integration of Photodiode and Camera for Visible Light Positioning by Using Fixed-Lag Ensemble Kalman Smoother
نویسندگان
چکیده
منابع مشابه
AFixed-Lag Kalman Smoother for RetrospectiveData Assimilation
Data assimilation has traditionally been employed to provide initial conditions for numerical weather prediction (NWP). A multi{year time sequence of objective analyses produced by data assimilation can also be used as an archival record from which to carry out a variety of atmospheric process studies. For this latter purpose, NWP analyses are not as accurate as they could be, for each analysis...
متن کاملThe Analog Ensemble Kalman Filter and Smoother
In classical data assimilation using sequential Monte Carlo methods, a physical model is run at each time steps to simulate members corresponding to different forecast scenarios. In this paper, we propose to use statistical analogs provided by observational or model-simulated data to emulate the dynamical model and generate relevant forecast members. This new methodology is called AnEnKF/AnEnFS...
متن کاملAn Ensemble Kalman Smoother for Nonlinear Dynamics
It is formally proved that the general smoother for nonlinear dynamics can be formulated as a sequential method, that is, observations can be assimilated sequentially during a forward integration. The general filter can be derived from the smoother and it is shown that the general smoother and filter solutions at the final time become identical, as is expected from linear theory. Then, a new sm...
متن کاملSuboptimal Schemes for Retrospective Data Assimilation Based on the Fixed Lag Kalman Smoother
The xed lag Kalman smoother was proposed recently as a framework for providing retrospective data assimilation capability in atmospheric reanalysis projects Cohn et al Mon Wea Rev Retrospective data assimilation refers to the dynamically consistent incorporation of data observed well past each analysis time into each analysis Like the Kalman lter the xed lag Kalman smoother requires statistical...
متن کاملAn Ensemble Kalman Filter and Smoother for Satellite Data Assimilation
This paper proposes a methodology for combining satellite images with advection-diffusion models for interpolation and prediction of environmental processes. We propose a dynamic state-space model and an ensemble Kalman filter and smoothing algorithm for on-line and retrospective state estimation. Our approach addresses the high dimensionality, measurement bias, and nonlinearities inherent in s...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Remote Sensing
سال: 2019
ISSN: 2072-4292
DOI: 10.3390/rs11111387